2. XYZ Manufacturing, Inc. is seeking a supplier for purchasing components for their products. 1) XYZ is investigating five potential suppliers for an electronic component. They are evaluated by five criteria: price, quality (=defect rate), lead time, distance, and service level. The data collected from the five suppliers on the five criteria are shown in the table below. Rank the suppliers by L. metric applied to the values scaled by Le norm. Supplier A B Price (S) Quality (%) 140 7 170 5 160 8 180 7 150 6 LT (days) 16 17 18 16 20 Distance (km) 1000 1500 1500 1200 2000 Service 80 85 75 D E 90 2) XYZ has two manufacturing facilities: one in Chicago (B1) and the other in St. Louis (B2). Both branches need to buy two components (P1, P2) for their products. There are two potential suppliers (51 and 52) and XYZ headquarter wants to decide the best among the two by formulating a supplier selection & allocation problem with three criteria: cost, LT, and quality. Write down a MILP model in an open form using the data given below. You don't need to solve the model, but you must define variables clearly and write out the objective functions and constraints to be satisfied with a brief explanation of each. Supplier Fred Cost 1 1000 2 2000 Product 1 1 2 2 Supplier Capacity 1 200 2 220 1 240 2. 260 Quality/ 7 8 9 10 Product 1 1 2 2 Buyer 1 2 1 2 Demand 160 180 200 220 Product 1 1 1 1 2 2 2 2 Buyer Supplies 1 1 1 2 2 1 2 2 1 1 1 2 2 1 2 2 Unit Price 18 20 22 24 28 30 32 34 LT 8 9 10 11 10 9 8 7 3) After formulating the MILP, re-formulate it as a non-preemptive GP model. Set the weight for cost, LT, and quality to wi, wz, and w, respectively. Set the target values at 110% of the ideal values, which can be obtained by solving the MILP for each objective separately. To simplify. let's assume the ideal values for cost, LT, quality are IV. IV., and IV, respectively. You may reuse the same equations you defined for the MILP to formulate the GP by referring to the corresponding equation numbers. 2. XYZ Manufacturing, Inc. is seeking a supplier for purchasing components for their products. 1) XYZ is investigating five potential suppliers for an electronic component. They are evaluated by five criteria: price, quality (=defect rate), lead time, distance, and service level. The data collected from the five suppliers on the five criteria are shown in the table below. Rank the suppliers by L. metric applied to the values scaled by Le norm. Supplier A B Price (S) Quality (%) 140 7 170 5 160 8 180 7 150 6 LT (days) 16 17 18 16 20 Distance (km) 1000 1500 1500 1200 2000 Service 80 85 75 D E 90 2) XYZ has two manufacturing facilities: one in Chicago (B1) and the other in St. Louis (B2). Both branches need to buy two components (P1, P2) for their products. There are two potential suppliers (51 and 52) and XYZ headquarter wants to decide the best among the two by formulating a supplier selection & allocation problem with three criteria: cost, LT, and quality. Write down a MILP model in an open form using the data given below. You don't need to solve the model, but you must define variables clearly and write out the objective functions and constraints to be satisfied with a brief explanation of each. Supplier Fred Cost 1 1000 2 2000 Product 1 1 2 2 Supplier Capacity 1 200 2 220 1 240 2. 260 Quality/ 7 8 9 10 Product 1 1 2 2 Buyer 1 2 1 2 Demand 160 180 200 220 Product 1 1 1 1 2 2 2 2 Buyer Supplies 1 1 1 2 2 1 2 2 1 1 1 2 2 1 2 2 Unit Price 18 20 22 24 28 30 32 34 LT 8 9 10 11 10 9 8 7 3) After formulating the MILP, re-formulate it as a non-preemptive GP model. Set the weight for cost, LT, and quality to wi, wz, and w, respectively. Set the target values at 110% of the ideal values, which can be obtained by solving the MILP for each objective separately. To simplify. let's assume the ideal values for cost, LT, quality are IV. IV., and IV, respectively. You may reuse the same equations you defined for the MILP to formulate the GP by referring to the corresponding equation numbers